Employing deep-learning techniques for the conservative-to-primitive recovery in binary neutron star simulations

Published in Eur.Phys.J.A 61, 2025

We develop machine learning methods to accelerate the conservative-to-primitive transformation, a costly step in binary neutron star mergers.